Franz Pernkopf

Franz Pernkopf, Holger Fröning, Markus Huber, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Frame and Segment Level Recurrent Neural Networks for Phone Classification

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2017, INTERSPEECH.

Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering pdf

Franz Pernkopf, Tobias Schrank, F. Pernkopf, 2018, ArXiv.

Deep Complex-valued Neural Beamformers

Franz Pernkopf, Matthias Zöhrer, Lukas Pfeifenberger, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks

Franz Pernkopf, Paul Meissner, Johanna Rock, 2019, 2019 22th International Conference on Information Fusion (FUSION).

A Robust Multichannel Lung Sound Recording Device

Franz Pernkopf, Martin Hagmüller, Elmar Messner, 2016, BIODEVICES.

Sum-Product Networks for Structured Prediction: Context-Specific Deep Conditional Random Fields

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2014 .

Wake-up-word spotting for mobile systems

Franz Pernkopf, Martin Hagmüller, A. Zehetner, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Measurement of fundamental frequencies in diplophonic voices

Philipp Aichinger, Franz Pernkopf, Imme Roesner, 2015 .

General Stochastic Networks for Classification

Franz Pernkopf, Matthias Zöhrer, 2014, NIPS.

Eigenvector-Based Speech Mask Estimation Using Logistic Regression

Franz Pernkopf, Matthias Zöhrer, Lukas Pfeifenberger, 2017, INTERSPEECH.

Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results

Franz Pernkopf, Matthias Zöhrer, Martin Hagmüller, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Detection of negative emotions in speech signals using bags-of-audio-words

Björn W. Schuller, Franz Pernkopf, Franz Graf, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

A mixture maximization approach to multipitch tracking with factorial hidden Markov models

Franz Pernkopf, Michael Wohlmayr, Michael Stark, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

On Reduced Precision Bayesian Network Classifiers.

Sebastian Tschiatschek, Franz Pernkopf, 2015 .

Robust speaker verification in air traffic control using improved voice activity detection

Tuan Van Pham, Gernot Kubin, Franz Pernkopf, 2007 .

Towards Efficient Forward Propagation on Resource-Constrained Systems

Holger Fröning, Franz Pernkopf, Matthias Zöhrer, 2018, ECML/PKDD.

Tracking of Multiple Fundamental Frequencies in Diplophonic Voices

Philipp Aichinger, Franz Pernkopf, Jean Schoentgen, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Voice activity detection algorithms using subband power distance feature for noisy environments

Tuan Van Pham, Gernot Kubin, Franz Pernkopf, 2008, INTERSPEECH.

A Dictionary Based Noise Robust Pitch Tracker

Franz Pernkopf, Michael Stark, 2009 .

Acoustic Scene Classification with Mismatched Recording Devices Using Mixture of Experts Layer

Franz Pernkopf, Truc Nguyen, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

Structured Regularizer for Neural Higher-Order Sequence Models

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2015, ECML/PKDD.

The Most Generative Maximum Margin Bayesian Networks

Sebastian Tschiatschek, Franz Pernkopf, Robert Peharz, 2013, ICML.

Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices

Philipp Aichinger, Franz Pernkopf, Jean Schoentgen, 2019, Biomed. Signal Process. Control..

Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization pdf

Franz Pernkopf, David Peter, Wolfgang Roth, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Respiratory airflow estimation from lung sounds based on regression

Franz Pernkopf, Martin Hagmüller, Elmar Messner, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Network Classifiers with Reduced Precision Parameters

Sebastian Tschiatschek, Franz Pernkopf, Manfred Mücke, 2012, ECML/PKDD.

On initialization of Gaussian mixtures: a hybrid genetic EM algorithm

Franz Pernkopf, F. Pernkopf, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Belief propagation: accurate marginals or accurate partition function—where is the difference?

Franz Pernkopf, Christian Knoll, F. Pernkopf, 2020, UAI.

Representation Learning for Single-Channel Source Separation and Bandwidth Extension

Franz Pernkopf, Robert Peharz, Matthias Zöhrer, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Model adaptation of factorial HMMS for multipitch tracking

Franz Pernkopf, Michael Wohlmayr, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

On the Latent Variable Interpretation in Sum-Product Networks

Franz Pernkopf, Pedro M. Domingos, Robert Peharz, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hybrid generative-discriminative training of Gaussian mixture models

Sebastian Tschiatschek, Franz Pernkopf, Robert Peharz, 2018, Pattern Recognit. Lett..

On Bayesian Network Classifiers with Reduced Precision Parameters

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On the Asymptotic Optimality of Maximum Margin Bayesian Networks

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2013, AISTATS.

Resource-Efficient Neural Networks for Embedded Systems pdf

Sebastian Tschiatschek, Franz Pernkopf, Robert Peharz, 2020, ArXiv.

Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement pdf

Holger Fröning, Franz Pernkopf, Matthias Zöhrer, 2020, ArXiv.

Automatic phonetics-driven reconstruction of medical dictations on multiple levels of segmentation

Franz Pernkopf, Stefan Petrik, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

Franz Pernkopf, Jeff A. Bilmes, J. Bilmes, 2010, J. Mach. Learn. Res..

A factorial sparse coder model for single channel source separation

Franz Pernkopf, Robert Peharz, Yannis Stylianou, 2010, INTERSPEECH.

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks pdf

Carl E. Rasmussen, Franz Pernkopf, Robert Peharz, 2018, ArXiv.

Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding

Franz Pernkopf, Paul O'Leary, 2001, CAIP.

Discriminative learning of bayesian network classifiers

Franz Pernkopf, 2007, Artificial Intelligence and Applications.

Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks

Franz Pernkopf, Stefan Scheidl, Elmar Messner, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

DNN-based speech mask estimation for eigenvector beamforming

Franz Pernkopf, Matthias Zöhrer, Lukas Pfeifenberger, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Heart Sound Segmentation—An Event Detection Approach Using Deep Recurrent Neural Networks

Franz Pernkopf, Elmar Messner, Matthias Zöhrer, 2018, IEEE Transactions on Biomedical Engineering.

Joint Time–Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement

Gernot Kubin, Franz Pernkopf, Charturong Tantibundhit, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Genetic-based EM algorithm for learning Gaussian mixture models

Djamel Bouchaffra, Franz Pernkopf, F. Pernkopf, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Maximum margin structure learning of Bayesian network classifiers

Franz Pernkopf, Manfred Mücke, Michael Wohlmayr, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exact Maximum Margin Structure Learning of Bayesian Networks

Franz Pernkopf, Robert Peharz, F. Pernkopf, 2012, ICML.

THE 2ND 'CHIME' SPEECH SEPARATION AND RECOGNITION CHALLENGE: APPROACHES ON SINGLE-CHANNEL SOURCE SEPARATION AND MODEL-DRIVEN SPEECH ENHANCEMENT

Franz Pernkopf, Gernot Kubin, Hannes Pessentheiner, 2013 .

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version) pdf

Bernhard K. Aichernig, Franz Pernkopf, Martin Horn, 2019, ICTSS.

Sparse nonnegative matrix factorization with ℓ0-constraints

Franz Pernkopf, Robert Peharz, F. Pernkopf, 2012, Neurocomputing.

Phase-Aware Signal Processing for Automatic Speech Recognition

Franz Pernkopf, Pejman Mowlaee Begzade Mahale, Johannes Stahl, 2016, INTERSPEECH.

Kernel PCA for Speech Enhancement

Gernot Kubin, Franz Pernkopf, Christina Leitner, 2011, INTERSPEECH.

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks pdf

Holger Fröning, Franz Pernkopf, Wolfgang Roth, 2020, ArXiv.

A multi-channel postfilter based on the diffuse noise sound field

Franz Pernkopf, Lukas Pfeifenberger, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Semantic and phonetic automatic reconstruction of medical dictations

Gernot Kubin, Jeremy Jancsary, Franz Pernkopf, 2011, Comput. Speech Lang..

On pre-image iterations for speech enhancement

Franz Pernkopf, Christina Leitner, 2015, SpringerPlus.

Automatic Inspection System for Detection and Classification of Flaws on Turned Parts

Franz Pernkopf, Paul O'Leary, 2001 .

Effective metric-based speaker segmentation in the frequency domain

Franz Pernkopf, Christoph Böhm, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Message Scheduling Methods for Belief Propagation

Sebastian Tschiatschek, Franz Pernkopf, Michael Rath, 2015, ECML/PKDD.

Auditory Discrimination of Different Types of Sonified Synthesized Glottal Area Waveforms

Philipp Aichinger, Franz Pernkopf, Jean Schoentgen, 2018 .

On Self-Adaptation in Single-Channel Source Separation

Franz Pernkopf, Michael Wohlmayr, Ludwig Mohr, 2014, Interspeech 2014.

Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions

Holger Fröning, Franz Pernkopf, Wolfgang Roth, 2019, ECML/PKDD.

Single Channel Speech Separation Using Source-Filter Representation

Franz Pernkopf, Michael Wohlmayr, Michael Stark, 2010, 2010 20th International Conference on Pattern Recognition.

Bayesian networks for phonetic classification using time-scale features

Tuan Van Pham, Franz Pernkopf, 2006, INTERSPEECH.

Self-adaption in single-channel source separation

Franz Pernkopf, Michael Wohlmayr, Ludwig Mohr, 2014, INTERSPEECH.

Generatively Optimized Bayesian Network Classifiers Under Computational Constraints

Sebastian Tschiatschek, Franz Pernkopf, 2015 .

Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition

Franz Pernkopf, Christina Leitner, Juan Andres Morales-Cordovilla, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2019, INTERSPEECH.

A German distant speech recognizer based on 3D beamforming and harmonic missing data mask.

Franz Pernkopf, Gernot Kubin, Hannes Pessentheiner, 2013 .

A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models

Franz Pernkopf, Michael Wohlmayr, Michael Stark, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields

Franz Pernkopf, Christian Knoll, F. Pernkopf, 2017, UAI.

Integer Bayesian Networks

Sebastian Tschiatschek, Franz Pernkopf, Karin Paul, 2014 .

Speaker Verification for Air Traffic Control

Franz Pernkopf, Horst Hering, Gernot Kubin, 2006 .

Discriminative versus generative parameter and structure learning of Bayesian network classifiers

Franz Pernkopf, Jeff A. Bilmes, J. Bilmes, 2005, ICML.

Complex Neural Beamforming

Franz Pernkopf, Matthias Zöhrer, Lukas Pfeifenberger, 2019 .

Graph Tracking in Dynamic Probabilistic Programs via Source Transformations

Franz Pernkopf, Hong Ge, Martin Trapp, 2019 .

Search-and-score structure learning algorithm for Bayesian network classifiers

Franz Pernkopf, Paul O'Leary, F. Pernkopf, 2003, International Conference on Quality Control by Artificial Vision.

Wavelet-based speaker change detection in single channel speech data

Franz Pernkopf, Michael Wiesenegger, 2009, INTERSPEECH.

Wasserstein Routed Capsule Networks pdf

Franz Pernkopf, Alexander Fuchs, 2020, ArXiv.

Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone

Franz Pernkopf, Christina Leitner, 2012, IWAENC.

Detection of surface defects on raw steel blocks using Bayesian network classifiers

Franz Pernkopf, F. Pernkopf, 2004, Pattern Analysis and Applications.

Channel-selection for distant-speech recognition on CHiME-5 dataset

Franz Pernkopf, Alessio Brutti, Daniele Falavigna, 2018 .

Generalization of pre-image iterations for speech enhancement

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech enhancement using pre-image iterations

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Learning of Sum-Product Networks pdf

Franz Pernkopf, Robert Peharz, Zoubin Ghahramani, 2019, NeurIPS.

Representation models in single channel source separation

Franz Pernkopf, Matthias Zöhrer, F. Pernkopf, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation

Franz Pernkopf, 2007, ICIAR.

Order-based Discriminative Structure Learning for Bayesian Network Classifiers

Franz Pernkopf, Jeff A. Bilmes, J. Bilmes, 2008, ISAIM.

Parameterized Structured Pruning for Deep Neural Networks

Holger Fröning, Franz Pernkopf, Wolfgang Roth, 2019, LOD.

3D surface analysis using coupled HMMs

Franz Pernkopf, F. Pernkopf, 2005, Machine Vision and Applications.

Suppression of musical noise in enhanced speech using pre-image iterations

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement

Franz Pernkopf, Lukas Pfeifenberger, Matthias Zöhrer, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

On representation learning for artificial bandwidth extension

Franz Pernkopf, Robert Peharz, Matthias Zöhrer, 2015, INTERSPEECH.

Source–Filter-Based Single-Channel Speech Separation Using Pitch Information

Franz Pernkopf, Michael Wohlmayr, Michael Stark, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model

Franz Pernkopf, Michael Wohlmayr, 2009, INTERSPEECH.

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development

Björn W. Schuller, Franz Pernkopf, Robert Peharz, 2016, INTERSPEECH.

On Discriminative Parameter Learning of Bayesian Network Classifiers

Franz Pernkopf, Michael Wohlmayr, F. Pernkopf, 2009, ECML/PKDD.

Control Software for a 64 by 64 pixel Spatial Light Modulator

Franz Pernkopf, 1999 .

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

Franz Pernkopf, Wolfgang Roth, F. Pernkopf, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks

Franz Pernkopf, Truc Nguyen, Alexander Fuchs, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Graphical Models: Discriminative Learning, Inference, and Applications

Franz Pernkopf, 2009 .

3D surface acquisition and reconstruction for inspection of raw steel products

Franz Pernkopf, 2005, Comput. Ind..

Greedy Part-Wise Learning of Sum-Product Networks

Franz Pernkopf, Robert Peharz, Bernhard C. Geiger, 2013, ECML/PKDD.

Maximum margin hidden Markov models for sequence classification

Nikolaus Mutsam, Franz Pernkopf, F. Pernkopf, 2016, Pattern Recognit. Lett..

Vocal-Tract Modeling For Speaker Independent Single Channel Source SEPARATION

Franz Pernkopf, Michael Stark, Gernot Kubin, 2008 .

Laser-based Hair Crack Detection on Wafers

Franz Pernkopf, Robin Priewald, Alexander Fuchs, 2020, 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC).

Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences

Nikolaus Mutsam, Franz Pernkopf, 2020, IEEE Transactions on Instrumentation and Measurement.

Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2016, INTERSPEECH.

Prosody-based recognition of spoken German varieties

Gernot Kubin, Franz Pernkopf, Micha Baum, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation

Franz Pernkopf, F. Pernkopf, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Nonlinear Residual Echo Suppression Using a Recurrent Neural Network

Franz Pernkopf, Lukas Pfeifenberger, F. Pernkopf, 2020, INTERSPEECH.

Optimisation of Overparametrized Sum-Product Networks pdf

Franz Pernkopf, Robert Peharz, Martin Trapp, 2019, ICML 2019.

Multi-channel lung sound classification with convolutional recurrent neural networks

Franz Pernkopf, Stefan Scheidl, Elmar Messner, 2020, Comput. Biol. Medicine.

Towards source-filter based single sensor speech separation

Franz Pernkopf, Michael Stark, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Context-Specic Deep Conditional Random Fields for Structured Prediction

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2014 .

Variational Inference in Neural Networks using an Approximate Closed-Form Objective

Franz Pernkopf, Wolfgang Roth, F. Pernkopf, 2016 .

Stochastic margin-based structure learning of Bayesian network classifiers

Franz Pernkopf, Michael Wohlmayr, F. Pernkopf, 2013, Pattern Recognit..

On linear and mixmax interaction models for single channel source separation

Franz Pernkopf, Robert Peharz, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint Position-Pitch Tracking for 2-Channel Audio

Franz Pernkopf, Michael Wohlmayr, Marián Képesi, 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

Sum-Product Networks for Sequence Labeling pdf

Sebastian Tschiatschek, Franz Pernkopf, Martin Ratajczak, 2018, ArXiv.

Language model adaptation for medical dictations by automatic phonetics-driven transcript reconstruction

Franz Pernkopf, Stefan Petrik, 2008 .

Bounds for Bayesian network classifiers with reduced precision parameters

Sebastian Tschiatschek, Franz Pernkopf, Carlos Eduardo Cancino Chacón, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Parameter Learning of Bayesian Network Classifiers Under Computational Constraints

Sebastian Tschiatschek, Franz Pernkopf, F. Pernkopf, 2015, ECML/PKDD.

Introduction to Probabilistic Graphical Models

Sebastian Tschiatschek, Franz Pernkopf, Robert Peharz, 2014 .

A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario

Franz Pernkopf, Gregor Pirker, Michael Wohlmayr, 2011, INTERSPEECH.

Deep Beamforming and Data Augmentation for Robust Speech Recognition: Results of the 4th CHiME Challenge

Franz Pernkopf, Matthias Zöhrer, Lukas Pfeifenberger, 2016 .

N-Ary Quantization for CNN Model Compression and Inference Acceleration

Holger Fröning, Franz Pernkopf, Wolfgang Roth, 2018 .

Text-To-Speech Engine with Austrian German Corpus

Franz Pernkopf, Rudolf Muhr, Michael Pucher, 2009 .

Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Bernhard K. Aichernig, Franz Pernkopf, Andreas Wurm, 2019, TAP@FM.

Multiple Object Tracking Using Incremental Learning for Appearance Model Adaptation

Franz Pernkopf, 2008, VISAPP.

Visual Inspection of Machined Metallic High-Precision Surfaces

Franz Pernkopf, Paul O'Leary, F. Pernkopf, 2002, EURASIP J. Adv. Signal Process..

Quantized Neural Networks for Radar Interference Mitigation pdf

Franz Pernkopf, Wolfgang Roth, Johanna Rock, 2020, ArXiv.

Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters

Franz Pernkopf, Thi Kim Truc Nguyen, Thi Nguyen, 2018, DCASE.

Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference

Franz Pernkopf, Michael Wohlmayr, F. Pernkopf, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Deep Structured Mixtures of Gaussian Processes pdf

Carl E. Rasmussen, Franz Pernkopf, Robert Peharz, 2019, AISTATS.

Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization

Franz Pernkopf, Michael Wohlmayr, Robert Peharz, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement pdf

Franz Pernkopf, Robert Harb, F. Pernkopf, 2018, DCASE.

Learning Models of a Network Protocol using Neural Network Language Models

Bernhard K. Aichernig, Franz Pernkopf, Martin Tappler, 2016 .

Bayesian network classifiers versus selective k-NN classifier

Franz Pernkopf, F. Pernkopf, 2005, Pattern Recognit..

Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction

Franz Pernkopf, Truc Nguyen, Michal Kosmider, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fundamental frequency tracking in diplophonic voices

Philipp Aichinger, Franz Pernkopf, Jean Schoentgen, 2017, Biomed. Signal Process. Control..

ADVANCED DATA MINING AND MACHINE LEARNING FOR SMART REFRACTORY CONTROL

Franz Pernkopf, Gregor Lammer, Manuel Forrer, 2018 .

On Theoretical Properties of Sum-Product Networks

Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos, 2015, AISTATS.

Quality Control of Metallic Surfaces by means of Digital Image Processing

Franz Pernkopf, Paul O'Leary, Arnulf Schiller, 2001 .

Recurrent Dilated DenseNets for a Time-Series Segmentation Task

Franz Pernkopf, Robin Priewald, Alexander Fuchs, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds

Franz Pernkopf, Martin Hagmüller, Elmar Messner, 2017, BIOSIGNALS.

Shape description and analysis of range data for milled steel blocks

Franz Pernkopf, Paul O'Leary, 2003, IS&T/SPIE Electronic Imaging.

Integer Bayesian Network Classifiers

Sebastian Tschiatschek, Franz Pernkopf, Karin Paul, 2014, ECML/PKDD.

Guided Selection of Accurate Belief Propagation Fixed Points

Franz Pernkopf, Christian Knoll, Florian Kulmer, 2019 .

CNNs for Interference Mitigaton and Denoising in Automotive Radar Using Real World Data

Franz Pernkopf, Johanna Rock, Mate Toth, 2019 .

Gated Recurrent Networks applied to Acoustic Scene Classification

Franz Pernkopf, Matthias Zöhrer, F. Pernkopf, 2016, DCASE.

Maximum Margin Bayesian Network Classifiers

Sebastian Tschiatschek, Franz Pernkopf, Michael Wohlmayr, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Self-Guided Belief Propagation – A Homotopy Continuation Method pdf

Franz Pernkopf, Christian Knoll, Florian Kulmer, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Broad phonetic classification using discriminative Bayesian networks

Tuan Van Pham, Franz Pernkopf, Jeff A. Bilmes, 2009, Speech Commun..

Image Acquisition and Analysis Techniques for Automatic Visual Inspection of Surfaces

Franz Pernkopf, Paul O'Leary, 2002 .

Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals

Franz Pernkopf, Paul Meissner, Johanna Rock, 2020, 2020 IEEE International Radar Conference (RADAR).

Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Modeling speech with sum-product networks: Application to bandwidth extension

Franz Pernkopf, Robert Peharz, Pejman Mowlaee Begzade Mahale, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

EM-Based Gain Adaptation for Probabilistic Multipitch Tracking

Franz Pernkopf, Michael Wohlmayr, 2011, INTERSPEECH.

Eigenvector-based Speech Mask Estimation using a Logistic Regression for Multi-Channel Speech Enhancement

Franz Pernkopf, Lukas Pfeifenberger, Matthias Zöhrer, 2017 .

The Pre-image Problem and Kernel PCA for Speech Enhancement

Franz Pernkopf, Christina Leitner, F. Pernkopf, 2011, NOLISP.

Blind Speech Separation and Dereverberation using Neural Beamforming pdf

Franz Pernkopf, Lukas Pfeifenberger, F. Pernkopf, 2021, Speech Commun..

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks pdf

Franz Pernkopf, Christian Knoll, Alexander Fuchs, 2021, ArXiv.

Machine Learning with a Hybrid Model for Monitoring of the Protection Systems of the LHC

Arjan Verweij, Franz Pernkopf, Michal Maciejewski, 2021 .

Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation

Franz Pernkopf, Paul Meissner, Johanna Rock, 2021, IEEE Journal of Selected Topics in Signal Processing.

Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

Franz Pernkopf, Andrea Apollonio, Walter Wuensch, 2021 .

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms

Philipp Aichinger, Franz Pernkopf, F. Pernkopf, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Lung Sound Classification Using Co-tuning and Stochastic Normalization pdf

Franz Pernkopf, Truc Nguyen, F. Pernkopf, 2021, IEEE Transactions on Biomedical Engineering.

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions

Franz Pernkopf, Richard Seeber, Christian Knoll, 2021, UAI.

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks

Holger Fröning, Franz Pernkopf, Günther Schindler, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation

Franz Pernkopf, Paul Meissner, Johanna Rock, 2021, International Radar Conference.

Acoustic Echo Cancellation with Cross-Domain Learning

Franz Pernkopf, Lukas Pfeifenberger, Matthias Zoehrer, 2021, Interspeech.

Automatic Surface Inspection of Raw Milled Steel Blocks Using Range Imaging

Franz Pernkopf, Paul O'Leary, Friedrich Pernkopf, 2002 .

Image Acquisition Techniques for Automatic Visual Inspection of Metallic Surfaces

Franz Pernkopf, P. O'Leary, F. Pernkopf, 2003 .